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deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

drl-router

DRL-Router is a method based on distributional reinforcement learning for RSP problem。

fqf-and-extensions

PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.

ge-ddrl

The source code for "GE-DDRL: Graph Embedding and DeepDistributional Reinforcement Learning for ReliableShortest Path: A Universal and Scale Free Solution".

multi-component-graph-convolutional-collaborative-filtering

Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"

opencda

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

pd-fac

Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search"

se-gac

segac

The implementation of our SE-GAC paper.